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Featured researches published by David S. Owens.


The New England Journal of Medicine | 2013

Genetic Associations with Valvular Calcification and Aortic Stenosis

George Thanassoulis; Catherine Y. Campbell; David S. Owens; J. Gustav Smith; Albert V. Smith; Gina M. Peloso; Kathleen F. Kerr; Sonali Pechlivanis; Matthew J. Budoff; Tamara B. Harris; Rajeev Malhotra; Kevin D. O'Brien; Pia R. Kamstrup; Børge G. Nordestgaard; Anne Tybjærg-Hansen; Matthew A. Allison; Thor Aspelund; Michael H. Criqui; Susan R. Heckbert; Shih Jen Hwang; Yongmei Liu; Marketa Sjögren; Jesper van der Pals; Hagen Kälsch; Thomas W. Mühleisen; Markus M. Nöthen; L. Adrienne Cupples; Muriel J. Caslake; Emanuele Di Angelantonio; John Danesh

BACKGROUND Limited information is available regarding genetic contributions to valvular calcification, which is an important precursor of clinical valve disease. METHODS We determined genomewide associations with the presence of aortic-valve calcification (among 6942 participants) and mitral annular calcification (among 3795 participants), as detected by computed tomographic (CT) scanning; the study population for this analysis included persons of white European ancestry from three cohorts participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (discovery population). Findings were replicated in independent cohorts of persons with either CT-detected valvular calcification or clinical aortic stenosis. RESULTS One SNP in the lipoprotein(a) (LPA) locus (rs10455872) reached genomewide significance for the presence of aortic-valve calcification (odds ratio per allele, 2.05; P=9.0×10(-10)), a finding that was replicated in additional white European, African-American, and Hispanic-American cohorts (P<0.05 for all comparisons). Genetically determined Lp(a) levels, as predicted by LPA genotype, were also associated with aortic-valve calcification, supporting a causal role for Lp(a). In prospective analyses, LPA genotype was associated with incident aortic stenosis (hazard ratio per allele, 1.68; 95% confidence interval [CI], 1.32 to 2.15) and aortic-valve replacement (hazard ratio, 1.54; 95% CI, 1.05 to 2.27) in a large Swedish cohort; the association with incident aortic stenosis was also replicated in an independent Danish cohort. Two SNPs (rs17659543 and rs13415097) near the proinflammatory gene IL1F9 achieved genomewide significance for mitral annular calcification (P=1.5×10(-8) and P=1.8×10(-8), respectively), but the findings were not replicated consistently. CONCLUSIONS Genetic variation in the LPA locus, mediated by Lp(a) levels, is associated with aortic-valve calcification across multiple ethnic groups and with incident clinical aortic stenosis. (Funded by the National Heart, Lung, and Blood Institute and others.).


British Journal of Sports Medicine | 2013

Electrocardiographic interpretation in athletes: the ‘Seattle Criteria’

Jonathan A. Drezner; Michael J. Ackerman; Jeffrey M. Anderson; Euan A. Ashley; Chad A. Asplund; Aaron L. Baggish; Mats Börjesson; Bryan C. Cannon; Domenico Corrado; John P. DiFiori; Peter S. Fischbach; Victor F. Froelicher; Kimberly G. Harmon; Hein Heidbuchel; Joseph Marek; David S. Owens; Stephen Paul; Antonio Pelliccia; Jordan M. Prutkin; Jack C. Salerno; Christian Schmied; Sanjay Sharma; Ricardo Stein; Victoria L. Vetter; Mathew G Wilson

Sudden cardiac death (SCD) is the leading cause of death in athletes during sport. Whether obtained for screening or diagnostic purposes, an ECG increases the ability to detect underlying cardiovascular conditions that may increase the risk for SCD. In most countries, there is a shortage of physician expertise in the interpretation of an athletes ECG. A critical need exists for physician education in modern ECG interpretation that distinguishes normal physiological adaptations in athletes from abnormal findings suggestive of pathology. On 13–14 February 2012, an international group of experts in sports cardiology and sports medicine convened in Seattle, Washington, to define contemporary standards for ECG interpretation in athletes. The objective of the meeting was to develop a comprehensive training resource to help physicians distinguish normal ECG alterations in athletes from abnormal ECG findings that require additional evaluation for conditions associated with SCD.


Pediatrics | 2005

Association between streptococcal infection and obsessive-compulsive disorder, Tourette's syndrome, and tic disorder.

Loren K. Mell; Robert L. Davis; David S. Owens

Objective. Reports have suggested that streptococcal infection may be etiologically related to pediatric autoimmune neuropsychiatric disorders (PANDAS), but there are few good epidemiologic studies to support this theory. Using population-based data from a large West-Coast health maintenance organization, we assessed whether streptococcal infection was associated with increased risk for obsessive-compulsive disorder (OCD), Tourettes syndrome (TS), or tic disorder. Methods. This is a case-control study of children 4 to 13 years old receiving their first diagnosis of OCD, TS, or tic disorder between January 1992 and December 1999 at Group Health Cooperative outpatient facilities. Cases were matched to controls by birth date, gender, primary physician, and propensity to seek health care. Results. Patients with OCD, TS, or tic disorder were more likely than controls to have had prior streptococcal infection (OR: 2.22; 95% CI: 1.05, 4.69) in the 3 months before onset date. The risk was higher among children with multiple streptococcal infections within 12 months (OR: 3.10; 95% CI: 1.77, 8.96). Having multiple infections with group A β-hemolytic streptococcus within a 12-month period was associated with an increased risk for TS (OR: 13.6; 95% CI: 1.93, 51.0). These associations did not change appreciably when limited to cases with a clear date of onset of symptoms or with tighter matching on health care behavior. Conclusion. These findings lend epidemiologic evidence that PANDAS may arise as a result of a postinfectious autoimmune phenomenon induced by childhood streptococcal infection.


Circulation | 2015

Incidence, cause, and comparative frequency of sudden cardiac death in national collegiate athletic association athletes a decade in review

Kimberly G. Harmon; Irfan M. Asif; Joseph J. Maleszewski; David S. Owens; Jordan M. Prutkin; Jack C. Salerno; Monica Zigman; Rachel Ellenbogen; Ashwin L. Rao; Michael J. Ackerman; Jonathan A. Drezner

Background— The incidence and cause of sudden cardiac death (SCD) in athletes is debated with hypertrophic cardiomyopathy often reported as the most common cause. Methods and Results— A database of all National Collegiate Athletic Association deaths (2003–2013) was developed. Additional information and autopsy reports were obtained when possible. Cause of death was adjudicated by an expert panel. There were 4 242 519 athlete-years (AY) and 514 total student athlete deaths. Accidents were the most common cause of death (257, 50%, 1:16 508 AY) followed by medical causes (147, 29%, 1:28 861 AY). The most common medical cause of death was SCD (79, 15%, 1:53 703 AY). Males were at higher risk than females 1:37 790 AY versus 1:121 593 AY (incidence rate ratio, 3.2; 95% confidence interval, 1.9–5.5; P<0.00001), and black athletes were at higher risk than white athletes 1:21491 AY versus 1:68 354 AY (incidence rate ratio, 3.2; 95% confidence interval, 1.9–5.2; P<0.00001). The incidence of SCD in Division 1 male basketball athletes was 1:5200 AY. The most common findings at autopsy were autopsy-negative sudden unexplained death in 16 (25%), and definitive evidence for hypertrophic cardiomyopathy was seen in 5 (8%). Media reports identified more deaths in higher divisions (87%, 61%, and 44%), whereas the percentages from the internal database did not vary (87%, 83%, and 89%). Insurance claims identified only 11% of SCDs. Conclusions— The rate of SCD in National Collegiate Athletic Association athletes is high, with males, black athletes, and basketball players at substantially higher risk. The most common finding at autopsy is autopsy-negative sudden unexplained death. Media reports are more likely to capture high-profile deaths, and insurance claims are not a reliable method for case identification.Background —The incidence and etiology of sudden cardiac death (SCD) in athletes is debated with hypertrophic cardiomyopathy (HCM) often reported as the most common etiology. Methods and Results —A database of all NCAA deaths (2003 - 2013) was developed. Additional information and autopsy reports were obtained when possible. Cause of death was adjudicated by an expert panel. There were 4,242,519 athlete-years (AY) and 514 total student athlete deaths. Accidents were the most common cause of death (257, 50%, 1:16,508 AY) followed by medical causes (147, 29%, 1:28,861 AY). The most common medical cause of death was SCD (79, 15%, 1:53,703 AY). Males were at higher risk than females 1:37,790 AY vs. 1:121,593 AY (IRR 3.2, 95% CI, 1.9-5.5, p < .00001), and black athletes were at higher risk than white athletes 1:21,491 AY vs. 1:68,354 AY (IRR 3.2, 95% CI, 1.9-5.2, p < .00001). The incidence of SCD in Division 1 male basketball athletes was 1:5,200 AY. The most common findings at autopsy were autopsy negative sudden unexplained death (AN-SUD) in 16 (25%) and definitive evidence for HCM was seen in 5 (8%). Media reports identified more deaths in higher divisions (87%, 61%, and 44%) while percentages from the internal database did not vary (87%, 83%, and 89%). Insurance claims identified only 11% of SCDs. Conclusions —The rate of SCD in NCAA athletes is high, with males, black athletes and basketball players at substantially higher risk. The most common finding at autopsy is AN-SUD. Media reports are more likely to capture high profile deaths, while insurance claims are not a reliable method for case identification.


Circulation-cardiovascular Imaging | 2013

Prospective Comparison of Valve Regurgitation Quantitation by Cardiac Magnetic Resonance Imaging and Transthoracic Echocardiography

Peter J. Cawley; C. Hamilton-Craig; David S. Owens; Eric V. Krieger; W. Strugnell; Lee M. Mitsumori; Caryn L. D’Jang; Rebecca Gibbons Schwaegler; Khanh Q. Nguyen; Bianca Nguyen; Jeffrey H. Maki; Catherine M. Otto

Background—Both transthoracic echocardiography (TTE) and cardiac magnetic resonance (CMR) imaging allow quantification of chronic aortic regurgitation (AR) and mitral regurgitation (MR). We hypothesized that CMR measurement of regurgitant volume (RVol) is more reproducible than TTE. Methods and Results—TTE and CMR performed on the same day in 57 prospectively enrolled adults (31 with AR, 26 with MR) were measured by 2 independent physicians. TTE RVolAR was calculated as Doppler left ventricular outflow minus inflow stroke volume. RVolMR was calculated by both the proximal isovelocity surface area method and Doppler volume flow at 2 sites. CMR RVolAR was calculated by phase-contrast velocity mapping at the aortic sinuses and RVolMR as total left ventricular minus forward stroke volume. Intraobserver and interobserver variabilities were similar. For AR, the Bland–Altman mean interobserver difference in RVol was −0.7 mL (95% confidence interval [CI], −5 to 4) for CMR and −9 mL (95% CI, −53 to −36) for TTE. The Pearson correlation was higher (P=0.001) between CMR (0.99) than TTE readers (0.89). For MR, the Bland–Altman mean difference in RVol between observers was −4 mL (95% CI, −21 to 13) for CMR compared with 0.7 mL (95% CI, −30 to 32) for the proximal isovelocity surface area and −10 mL (95% CI, −76 to 56) for TTE volume flow at 2 sites. Correlation was similar for CMR (0.94) versus TTE readers (0.90 for the proximal isovelocity surface area). Conclusions—Compared with TTE, CMR has lower intraobserver and interobserver variabilities for RVolAR, suggesting CMR may be superior for serial measurements. Although RVolMR is similar by TTE and CMR, variability in measured RVol by both approaches suggests that caution is needed in clinical practice.


British Journal of Sports Medicine | 2013

Normal electrocardiographic findings: recognising physiological adaptations in athletes

Jonathan A. Drezner; Peter S. Fischbach; Victor F. Froelicher; Joseph Marek; Antonio Pelliccia; Jordan M. Prutkin; Christian Schmied; Sanjay Sharma; Mathew G Wilson; Michael J. Ackerman; Jeffrey M. Anderson; Euan A. Ashley; Chad A. Asplund; Aaron L. Baggish; Mats Börjesson; Bryan C. Cannon; Domenico Corrado; John P. DiFiori; Kimberly G. Harmon; Hein Heidbuchel; David S. Owens; Stephen Paul; Jack C. Salerno; Ricardo Stein; Victoria L. Vetter

Electrocardiographic changes in athletes are common and usually reflect benign structural and electrical remodelling of the heart as a physiological adaptation to regular and sustained physical training (athletes heart). The ability to identify an abnormality on the 12-lead ECG, suggestive of underlying cardiac disease associated with sudden cardiac death (SCD), is based on a sound working knowledge of the normal ECG characteristics within the athletic population. This document will assist physicians in identifying normal ECG patterns commonly found in athletes. The ECG findings presented as normal in athletes were established by an international consensus panel of experts in sports cardiology and sports medicine.


British Journal of Sports Medicine | 2013

Abnormal electrocardiographic findings in athletes: recognising changes suggestive of cardiomyopathy

Jonathan A. Drezner; Euan A. Ashley; Aaron L. Baggish; Mats Börjesson; Domenico Corrado; David S. Owens; Akash R. Patel; Antonio Pelliccia; Victoria L. Vetter; Michael J. Ackerman; Jeffrey M. Anderson; Chad A. Asplund; Bryan C. Cannon; John P. DiFiori; Peter S. Fischbach; Victor F. Froelicher; Kimberly G. Harmon; Hein Heidbuchel; Joseph Marek; Stephen Paul; Jordan M. Prutkin; Jack C. Salerno; Christian Schmied; Sanjay Sharma; Ricardo Stein; Mathew G Wilson

Cardiomyopathies are a heterogeneous group of heart muscle diseases and collectively are the leading cause of sudden cardiac death (SCD) in young athletes. The 12-lead ECG is utilised as both a screening and diagnostic tool for detecting conditions associated with SCD. Fundamental to the appropriate evaluation of athletes undergoing ECG is an understanding of the ECG findings that may indicate the presence of an underlying pathological cardiac disorder. This article describes ECG findings present in cardiomyopathies afflicting young athletes and outlines appropriate steps for further evaluation of these ECG abnormalities. The ECG findings defined as abnormal in athletes were established by an international consensus panel of experts in sports cardiology and sports medicine.


British Journal of Sports Medicine | 2013

Abnormal electrocardiographic findings in athletes: recognising changes suggestive of primary electrical disease

Jonathan A. Drezner; Michael J. Ackerman; Bryan C. Cannon; Domenico Corrado; Hein Heidbuchel; Jordan M. Prutkin; Jack C. Salerno; Jeffrey M. Anderson; Euan A. Ashley; Chad A. Asplund; Aaron L. Baggish; Mats Börjesson; John P. DiFiori; Peter S. Fischbach; Victor F. Froelicher; Kimberly Harmon; Joseph Marek; David S. Owens; Stephen Paul; Antonio Pelliccia; Christian Schmied; Sanjay Sharma; Ricardo Stein; Victoria L. Vetter; Mathew G Wilson

Cardiac channelopathies are potentially lethal inherited arrhythmia syndromes and an important cause of sudden cardiac death (SCD) in young athletes. Other cardiac rhythm and conduction disturbances also may indicate the presence of an underlying cardiac disorder. The 12-lead ECG is utilised as both a screening and a diagnostic tool for detecting conditions associated with SCD. Fundamental to the appropriate evaluation of athletes undergoing ECG is an understanding of the ECG findings that may indicate the presence of a pathological cardiac disease. This article describes ECG findings present in primary electrical diseases afflicting young athletes and outlines appropriate steps for further evaluation of these ECG abnormalities. The ECG findings defined as abnormal in athletes were established by an international consensus panel of experts in sports cardiology and sports medicine.


JAMA | 2014

Association of Low-Density Lipoprotein Cholesterol–Related Genetic Variants With Aortic Valve Calcium and Incident Aortic Stenosis

J. Gustav Smith; Kevin Luk; Christina-Alexandra Schulz; James C. Engert; Ron Do; George Hindy; Gull Rukh; Line Dufresne; Peter Almgren; David S. Owens; Tamara B. Harris; Gina M. Peloso; Kathleen F. Kerr; Quenna Wong; Albert V. Smith; Matthew J. Budoff; Jerome I. Rotter; L. Adrienne Cupples; Stephen S. Rich; Sekar Kathiresan; Marju Orho-Melander; Vilmundur Gudnason; Christopher J. O'Donnell; Wendy S. Post; George Thanassoulis

IMPORTANCE Plasma low-density lipoprotein cholesterol (LDL-C) has been associated with aortic stenosis in observational studies; however, randomized trials with cholesterol-lowering therapies in individuals with established valve disease have failed to demonstrate reduced disease progression. OBJECTIVE To evaluate whether genetic data are consistent with an association between LDL-C, high-density lipoprotein cholesterol (HDL-C), or triglycerides (TG) and aortic valve disease. DESIGN, SETTING, AND PARTICIPANTS Using a Mendelian randomization study design, we evaluated whether weighted genetic risk scores (GRSs), a measure of the genetic predisposition to elevations in plasma lipids, constructed using single-nucleotide polymorphisms identified in genome-wide association studies for plasma lipids, were associated with aortic valve disease. We included community-based cohorts participating in the CHARGE consortium (n = 6942), including the Framingham Heart Study (cohort inception to last follow-up: 1971-2013; n = 1295), Multi-Ethnic Study of Atherosclerosis (2000-2012; n = 2527), Age Gene/Environment Study-Reykjavik (2000-2012; n = 3120), and the Malmö Diet and Cancer Study (MDCS, 1991-2010; n = 28,461). MAIN OUTCOMES AND MEASURES Aortic valve calcium quantified by computed tomography in CHARGE and incident aortic stenosis in the MDCS. RESULTS The prevalence of aortic valve calcium across the 3 CHARGE cohorts was 32% (n = 2245). In the MDCS, over a median follow-up time of 16.1 years, aortic stenosis developed in 17 per 1000 participants (n = 473) and aortic valve replacement for aortic stenosis occurred in 7 per 1000 (n = 205). Plasma LDL-C, but not HDL-C or TG, was significantly associated with incident aortic stenosis (hazard ratio [HR] per mmol/L, 1.28; 95% CI, 1.04-1.57; P = .02; aortic stenosis incidence: 1.3% and 2.4% in lowest and highest LDL-C quartiles, respectively). The LDL-C GRS, but not HDL-C or TG GRS, was significantly associated with presence of aortic valve calcium in CHARGE (odds ratio [OR] per GRS increment, 1.38; 95% CI, 1.09-1.74; P = .007) and with incident aortic stenosis in MDCS (HR per GRS increment, 2.78; 95% CI, 1.22-6.37; P = .02; aortic stenosis incidence: 1.9% and 2.6% in lowest and highest GRS quartiles, respectively). In sensitivity analyses excluding variants weakly associated with HDL-C or TG, the LDL-C GRS remained associated with aortic valve calcium (P = .03) and aortic stenosis (P = .009). In instrumental variable analysis, LDL-C was associated with an increase in the risk of incident aortic stenosis (HR per mmol/L, 1.51; 95% CI, 1.07-2.14; P = .02). CONCLUSIONS AND RELEVANCE Genetic predisposition to elevated LDL-C was associated with presence of aortic valve calcium and incidence of aortic stenosis, providing evidence supportive of a causal association between LDL-C and aortic valve disease. Whether earlier intervention to reduce LDL-C could prevent aortic valve disease merits further investigation.


British Journal of Sports Medicine | 2013

Abnormal electrocardiographic findings in athletes

Jonathan A. Drezner; Euan A. Ashley; Aaron L. Baggish; Mats Börjesson; Domenico Corrado; David S. Owens; Akash R. Patel; Antonio Pelliccia; Victoria L. Vetter; Michael J. Ackerman; Jeffrey M. Anderson; Chad A. Asplund; Bryan C. Cannon; John P. DiFiori; Peter S. Fischbach; Victor F. Froelicher; Kimberly G. Harmon; Hein Heidbuchel; Joseph Marek; Stephen Paul; Jordan M. Prutkin; Jack C. Salerno; Christian Schmied; Sanjay Sharma; Ricardo Stein; Mathew G Wilson

Cardiomyopathies are a heterogeneous group of heart muscle diseases and collectively are the leading cause of sudden cardiac death (SCD) in young athletes. The 12-lead ECG is utilised as both a screening and diagnostic tool for detecting conditions associated with SCD. Fundamental to the appropriate evaluation of athletes undergoing ECG is an understanding of the ECG findings that may indicate the presence of an underlying pathological cardiac disorder. This article describes ECG findings present in cardiomyopathies afflicting young athletes and outlines appropriate steps for further evaluation of these ECG abnormalities. The ECG findings defined as abnormal in athletes were established by an international consensus panel of experts in sports cardiology and sports medicine.

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Irfan M. Asif

University of South Carolina

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Ashwin L. Rao

University of Washington

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Jonathan F. Plehn

National Institutes of Health

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